Data engineer jobs in Mississauga, ON and nearby

Data engineer jobs within 25 km of Mississauga, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 409
Employers: 205

Advertised starting pay

Average starting payCAD / year: $100,676Across 29 listings
Average starting payCAD / hour: $63.76Across 25 listings
Average starting payUSD / year: $109,286Across 14 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 44%178 listings
On-site: 56%227 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), J&M Group (11).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Mississauga, ON and nearby

Within 25 km

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Added 11 days ago
SL
Data Engineer – Banking / Financial Domain
Staffingine LLC
Toronto, ON
- Contract
Job Title: Data Engineer – Banking / Financial Domain
Added 11 days ago
A
AI Cloud Data Engineer
Altera
Toronto, ON
- Full-time
Altera is seeking a talented and driven AI Data Engineer to design, develop, and deploy AI-powered applications, data platforms, and machine learning solutions that transform data into…
Added 11 days ago
AI
Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)
Apptoza Inc.
Toronto, ON
- Contract
Role: Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)
Added 11 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to…
Added 11 days ago
NP
Sr. Snowflake Data Engineer
Next Pathway
Toronto, ON
- Contract
Next Pathway is seeking an experienced Snowflake Data Engineer to support a major enterprise client that is building a new cloud data platform on Snowflake. This is a greenfield…
Added 11 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON
- Full-time
Added 11 days ago
W
Senior/Lead Azure Data Engineer
Wipro
Toronto, ON
- Full-time
We are seeking a highly skilled Senior/Lead Azure Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have…
Added 11 days ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Full-time
Ideal Candidate Profile: A hands-on Data Engineer with strong Databricks, Python, Azure database, and Oracle experience. AI experience will be an added advantage.
Added 11 days ago
B
Data Engineer, Fraud Predictive Analytics
BMO
Toronto, ON
- Full-time
Added 12 days ago
TC
Data Engineer - Big Data / PySpark
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Added 12 days ago
Data Engineer
Capgemini
Mississauga, ON
Added 12 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…
Added 12 days ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
Added 12 days ago
H
AWS Data Engineer
HCLTech
Toronto, ON
- Full-time
🚀 Hiring: Fulltime AWS Data Engineer | 5+ Years Experience
Added 12 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 12 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 12 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Added 12 days ago
J
Senior DataOps / Cloud Data Engineer
Joblinxsapp
Toronto, ON
- Full-time
Added 12 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Added 12 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
We are looking for an experienced GCP Data Engineer (5+ years) with expertise in:
Added 13 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable…
Added 13 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON
Added 13 days ago
TC
Azure Data Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 13 days ago
P
DataOps/Cloud Data Engineer
ProxyLink
Toronto, ON
- $95 to $100 CAD / hour
- Contract
ProxyLink is working with a client hiring for an experienced Data Engineer to design,
Added 13 days ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…

S M Software Solutions Inc

RQ11576 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

Apply About employer

Applications open in a new tab.

Job details

Job type: Internship
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

Client: Ministry of Public and Business Service Delivery and Procurement – RQ11576

We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps practices. The ideal candidate will have hands-on experience with Databricks, Delta Lake, Databricks SQL, Medallion Architecture, Azure Data Services, Azure Data Factory, and Informatica or equivalent integration platforms. The successful candidate will support the design, development, optimization, automation, and operational management of cloud data solutions, including metadata management, data governance, data quality, data migration, and enterprise data interoperability.

Role Snapshot

Job Title: RQ11576 – Data Ops/Cloud Data Engineer – Senior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location: 595 Bay Street, Toronto, Ontario, Canada
Work Arrangement: Onsite – 5 Days per Week
Estimated Start Date: September 21, 2026
Estimated End Date: October 1, 2027
Business Days: 283.00
Extension: Probable after the initial mandate
Hours: 7.25 hours per day
Security Level: No Clearance Required

Must Have

Experience with Databricks, Delta Lake, and Databricks SQL.
Knowledge of Medallion Architecture.
Experience with Azure Data Services and Azure Data Factory.
Experience with Informatica or equivalent integration platforms.
Experience operationalizing common data models and metadata repositories.

Nice to Have

Prior Ontario Public Service (OPS) or public sector experience.
Experience with Microsoft Purview and Microsoft Fabric.

Description

Responsibilities

Design and develop data pipelines from source systems to end users.
Optimize data pipelines to improve performance, efficiency, and reliability.

General Skills

Experience with cloud data platforms, data management, and data exchange tools and technologies.
Experience with commercial and open-source data and database development and management, specializing in data storage and the configuration and management of Cloud Data as a Service (DaaS), application Database as a Service (DBaaS), Data Warehouses as a Service (DaaS), and other storage platforms in both cloud and on-premises environments.
Experience with data pipeline and workflow development, orchestration, deployment, and automation, specializing in programming and pipelines to create and manage data flows and data movement.
Experience with cloud data engineering, including familiarity with different programming languages and the ability to integrate multiple platforms to create data pipelines, automate tasks, and write scripts.
Experience with DataOps principles, best practices, implementation, and Agile project development and deployment.
Experience with Continuous Integration/Continuous Development/Deployment (CI/CD) and data provisioning automation.
Experience with digital products, data analysis, data exchange, data provisioning, and data security.
Extensive expert experience in designing, developing, and implementing data conversion and migration of Very Large Data (VLD) across Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) environments to Cloud Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS) environments.
Experience in the design, development, and implementation of fact/dimension models, data mapping, data warehouses, data lakes, and data lakehouses for enterprise environments.
Experience managing cloud data services for project delivery, including storage, repositories, data lakes, data lakehouses, key vaults, virtual machines, disks, and related services.
Experience with structured, semi-structured, and unstructured data collection, ingestion, provisioning, and exchange, including the technological development and operational support of enterprise data warehouses, data lakes, and data lakehouses.
Experience with DataOps performance monitoring and tuning.
Excellent analytical, problem-solving, and decision-making skills, along with strong verbal and written communication, presentation, interpersonal, and negotiation skills.
A team player with a proven track record of meeting deadlines.

Experience And Skill Set Requirements

General Skills - 80%
Demonstrated experience designing, implementing, and supporting cloud-based data platforms and services.
Experience developing scalable ETL/ELT processes, data pipelines, and integration solutions.
Experience implementing DataOps practices, including deployment automation, testing, monitoring, and operational support.
Experience with cloud-native data engineering and modern data platform architectures.
Experience implementing metadata, lineage, and data quality capabilities within cloud data environments.
Experience developing integration solutions using APIs, event-driven architectures, and batch or streaming technologies.
Knowledge of data governance, security, and operational best practices for cloud platforms.
Experience automating metadata collection, data movement, and operational processes.
Experience supporting cloud modernization and data migration initiatives.
Experience collaborating with architects, data modellers, and governance teams to operationalize data standards, metadata, and common data models.
Knowledge of performance optimization and scalability considerations for cloud data platforms.
Ability to troubleshoot complex technical problems and develop practical solutions.
Strong analytical, organizational, and communication skills.

Resource Deliverables

The Resource Will Support The Following Deliverables

Data pipelines and integration services.
Automated metadata collection and synchronization processes.
Cloud data platform implementation and configuration.
Data quality and lineage enablement.
CI/CD and DataOps automation.
Data migration and interoperability services.
Cloud-hosted data products and reusable data services.
Metadata and governance platform integrations.
Desirable Skills - 20%
Experience with Microsoft Fabric and Azure Data Services.
Experience with Microsoft Purview.
Experience with graph technologies and semantic repositories.
Knowledge and understanding of the Accessibility for Ontarians with Disabilities Act (AODA) and related standards.
Ability to meet tight deadlines and adapt to changing project priorities.

How to Apply

If you are interested and your profile matches the requirements, kindly send the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, October 26, 2026, at 10:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Without the mandatory documents, we cannot submit a candidate.

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Note

Onsite 5 days per week.

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You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Design, develop, optimize, and operate cloud data pipelines and integration services, including automated metadata collection, data quality, lineage, and CI/CD/DataOps processes. Support cloud data platform implementation, data migration, interoperability, and reusable cloud-hosted data products.

Requirements

Requires extensive senior-level experience with cloud data platforms, Databricks, Delta Lake, Databricks SQL, Medallion Architecture, Azure Data Services, Azure Data Factory, and Informatica or an equivalent integration platform. Candidates should also have strong DataOps, pipeline engineering, metadata and governance, data migration, cloud security, performance optimization, and communication skills.

Skills

Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Services
Azure Data Factory
Informatica
DataOps
Data Pipeline Development
ETL/ELT
Metadata Management
Data Governance
Data Quality
Data Migration
CI/CD
Microsoft Purview

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Services
Azure Data Factory
Informatica
Microsoft Purview
Microsoft Fabric
DataOps
Cloud Data Engineering
ETL/ELT
Data Pipelines
Data Integration
Metadata Management
Data Lineage
Data Quality
Data Governance
CI/CD
Data Migration
Data Interoperability
Data Warehouses
Data Lakes
Data Lakehouses
Fact/Dimension Modeling
APIs
Event-Driven Architecture
Batch Processing
Streaming
Agile

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